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Health Web Science

Social Media Data for Healthcare

  • Book
  • © 2015

Overview

  • Examines the impact of shared medical information on social media platforms and how it can be analyzed to benefit healthcare systems
  • Differentiates between types of content and analyzes the methods in which each provides and receives medical information
  • Introduces methods of analysis necessary to extract usable medical information and distinguish trends on social media platforms for healthcare purposes
  • Details how to apply collected social media data to public health monitoring
  • Considers the ethical, organizational and legal issues relating to the use of medical data gathered from social media

Part of the book series: Health Information Science (HIS)

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Table of contents (16 chapters)

  1. Introduction

  2. Medical Social Media: Content, Characteristics, Appearance

  3. Information Discovery from Medical Social Media

  4. Applications

  5. Influence Factors

Keywords

About this book

This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media’s role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

Authors and Affiliations

  • Innovation Center for Computer Assisted Surgery, Universität Leipzig, Leipzig, Germany

    Kerstin Denecke

Bibliographic Information

  • Book Title: Health Web Science

  • Book Subtitle: Social Media Data for Healthcare

  • Authors: Kerstin Denecke

  • Series Title: Health Information Science

  • DOI: https://doi.org/10.1007/978-3-319-20582-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-20581-6Published: 07 September 2015

  • Softcover ISBN: 978-3-319-35223-7Published: 22 October 2016

  • eBook ISBN: 978-3-319-20582-3Published: 31 August 2015

  • Series ISSN: 2366-0988

  • Series E-ISSN: 2366-0996

  • Edition Number: 1

  • Number of Pages: XII, 168

  • Number of Illustrations: 20 illustrations in colour

  • Topics: Health Informatics, Information Systems Applications (incl. Internet), Health Informatics

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